Provider Overview
Strengths & Best For
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
- EU data residency
- Competitive H100/H200 pricing
- Spot availability
- GDPR compliant
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
- Serverless model
- Auto-scaling
- Simple SDK
- Fast cold starts
Live GPU Pricing
Region Coverage
Popular Comparisons
Nebius AI — specialist provider
Nebius AI (formerly Yandex Cloud international) is a European AI-focused cloud offering H100, H200, and A100 GPU clusters with competitive pricing and full EU data residency for GDPR-compliant AI training and inference. On-demand, spot, and reserved billing options are available, making it one of the most flexible European GPU cloud choices for cost-sensitive teams. A strong alternative to hyperscalers for EU-based organizations that cannot send data outside European borders.
Beam — specialist provider
Beam is a serverless GPU platform that lets developers deploy AI models and run H100, A100, and T4 compute jobs with automatic scaling and per-second pay-per-use billing — no infrastructure management required. A Python-native SDK and fast cold starts make it easy to build and ship LLM inference APIs, batch ML pipelines, and AI model serving endpoints quickly. A strong choice for Python-first teams that want serverless GPU infrastructure with predictable, usage-based pricing.
Billing model comparison
Nebius AI uses a On-demand, Spot, Reserved billing model with a minimum commitment of None. Beam uses Per-second usage billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Nebius AI is best suited for: EU-based AI teams, GDPR-sensitive workloads, Cost-conscious training. Its key strengths are eu data residency, competitive h100/h200 pricing, spot availability. Beam is best suited for: Serverless AI inference, Batch processing, Python-first teams. Its key strengths are serverless model, auto-scaling, simple sdk. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Nebius AI offers Standard → Enterprise support across 2 regions (EU-West, US-East). Beam offers Standard support across 1 region (US). Nebius AI's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Nebius AI vs Beam
Nebius AI was founded in 2023 and is headquartered in Amsterdam, Netherlands. Beam was founded in 2022 and is headquartered in New York, NY. Beam has 1 years more operational history than Nebius AI, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.